Ecomm

Ecomm — CS2 Stats

US76561198881064243[U:1:920798515]Steam profile ↗✓ No bans

1,518Tracked matches60%Win rate2022Tracked since
758Hours in CS
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating16,259Purple band · top ~23.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,259 +5,540 14 Jul – 4 Oct · 29 days played
10,71916,286peak 16,28614 Jul4 Oct
16,635Peak Premier in tracked matches
32Days played since 2026-07-12

Premier CS Rating

  • 27 below peak (16,286)
  • +1,305 over 30 days · improving
  • +5,540 over 90 days
  • Next: Pink band at 20,000 — 3,741 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate57.0%43.8%44.8%above
Shot accuracy4.7%12.0%12.4%7.8% short
Kill/death ratio1.001.021.030.04 short
Match win rate42.5%44.7%45.2%2.7% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEcommFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,259 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim55
Positioning53
Utility46

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateLWWWWLWWLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · −74ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 547ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.5
Utility4.6
Positioning5.3
Opening Duels3.6
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.5
Positioning5.3
Utility4.6
Mechanics4.4
Opening Duels3.1
Win Impact8.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time603ms−57ms
first ⅓ avg 660ms → last ⅓ avg 603ms
Headshot accuracy19.5%+1.7%
first ⅓ avg 17.8% → last ⅓ avg 19.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–10 · nuke, 12 Jul →
32%Best headshot accuracy · 13–5 · inferno, 26 Jul →
422msFastest reaction time · 1–8 · cache, 1 Aug →
13–1Biggest win · anubis, 6 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
13–2In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 67% over 15cacheWeakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%0.00
dust2B1910–953%0.01
ancientA159–660%0.02
mirageS1510–567%0.02
nukeA127–558%0.01
anubisA116–555%0.00
infernoA85–363%-0.01

Across the last 100 tracked matches.

Lifetime stats

36,366Lifetime kills
1.00K/D
2,107Matches
42.5%Match win rate
57.0%Headshot % · Top 10% of Level 5 players
4.7%Shot accuracy
4,209MVPs
758Hours (in match)
1,431Bombs planted
517Bombs defused

Most-used weapons

Lifetime map wins

4,300dust2
1,602nuke
1,244inferno
1,133vertigo
411train
16cbble
3office
2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

145Matches
46%Win rate
1.04Avg K/D
86.6ADR
53%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust24347%0.9515.5
Mirage4045%1.0916.9
Ancient3050%1.0515.7
Inferno1030%0.9915.2
Anubis956%1.0818.7
Nuke812%0.9617.5
Cache367%1.1516.7
Vertigo2100%1.9424.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.8%Spray accuracy
69.7%Counter-strafing
9.5°Preaim
596msReaction time
37.5%T opening success
47.0%CT opening success
0.47Enemies flashed / flash
6.4%Flash assists
10.23HE damage / grenade
8.41Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4704 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.544% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient14–16-0.0416%4 Oct →
dust213–80.0011%4 Oct →
cache13–100.0414%27 Sept →
anubis16–130.0219%26 Sept →
nuke13–11-0.0412%24 Sept →
ancient5–13-0.0113%20 Sept →
dust213–7-0.0112%20 Sept →
anubis13–9-0.0119%19 Sept →
dust212–160.0124%19 Sept →
mirage16–130.1021%19 Sept →
mirage13–40.1119%13 Sept →
anubis3–13-0.0320%13 Sept →
cache7–13-0.068%10 Sept →
dust213–16-0.0315%9 Sept →
anubis6–13-0.0111%9 Sept →
mirage13–40.0817%9 Sept →
anubis10–13-0.0617%8 Sept →
nuke9–130.0125%8 Sept →
dust213–20.0319%8 Sept →
dust213–110.0727%8 Sept →
nuke13–80.0329%6 Sept →
dust216–14-0.0020%6 Sept →
ancient13–50.0818%6 Sept →
mirage7–130.0221%6 Sept →
cache13–11-0.0125%6 Sept →
ancient4–13-0.0620%6 Sept →
anubis13–10.0627%6 Sept →
ancient13–11-0.0028%5 Sept →
ancient16–130.1221%5 Sept →
dust29–13-0.0318%5 Sept →
mirage13–90.0427%29 Aug →
mirage13–30.1024%29 Aug →
dust213–5-0.0227%29 Aug →
inferno13–30.0223%29 Aug →
cache13–110.0027%29 Aug →
ancient13–110.0525%16 Aug →
dust213–40.1125%16 Aug →
dust213–110.0917%16 Aug →
dust27–13-0.0326%16 Aug →
dust213–16-0.0017%16 Aug →
mirage6–13-0.0222%13 Aug →
dust28–13-0.0316%2 Aug →
mirage9–13-0.0416%1 Aug →
ancient5–13-0.0112%1 Aug →
cache1–8-0.010%1 Aug →
cache13–50.1325%31 Jul →
cache8–130.0328%31 Jul →
mirage13–5-0.0113%31 Jul →
ancient13–50.0414%30 Jul →
inferno13–80.0214%30 Jul →
mirage16–130.0721%27 Jul →
nuke10–13-0.0123%27 Jul →
nuke13–50.0430%27 Jul →
anubis8–13-0.0314%27 Jul →
cache13–10.0418%27 Jul →
ancient13–60.0918%27 Jul →
inferno13–50.1132%26 Jul →
mirage0–3-0.030%26 Jul →
inferno10–13-0.0121%26 Jul →
cache16–14-0.0916%26 Jul →
ancient3–13-0.0916%26 Jul →
cache5–13-0.0613%25 Jul →
cache12–16-0.0114%25 Jul →
dust210–13-0.0311%24 Jul →
inferno2–9-0.2225%24 Jul →
dust23–13-0.0724%21 Jul →
inferno13–7-0.0226%21 Jul →
cache13–20.0111%21 Jul →
nuke9–13-0.0517%21 Jul →
cache6–13-0.0618%21 Jul →
nuke6–13-0.0211%21 Jul →
cache6–13-0.0321%21 Jul →
anubis13–11-0.0413%21 Jul →
inferno13–5-0.0519%20 Jul →
dust29–13-0.0116%20 Jul →
nuke2–120.0311%20 Jul →
dust213–70.0523%20 Jul →
anubis13–100.1327%19 Jul →
nuke13–6-0.0413%19 Jul →
cache16–140.0424%19 Jul →
ancient13–110.0115%17 Jul →
ancient13–50.0918%17 Jul →
mirage13–7-0.0715%16 Jul →
cache7–13-0.0215%16 Jul →
dust26–00.1118%16 Jul →
anubis2–9-0.0727%16 Jul →
cache10–130.0622%16 Jul →
ancient16–130.0314%15 Jul →
mirage13–70.017%15 Jul →
cache13–90.0119%14 Jul →
cache5–13-0.0414%13 Jul →
nuke13–8-0.0220%13 Jul →
mirage16–14-0.0125%13 Jul →
ancient14–160.0216%12 Jul →
nuke13–100.1513%12 Jul →
mirage7–13-0.0114%12 Jul →
anubis13–30.0818%12 Jul →
nuke13–90.0729%12 Jul →
cache16–120.0728%12 Jul →
inferno7–130.0418%12 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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